Quantitative Research Methods
- Experiment! byISBN: 0470688254Publication Date: 2012"Provides an excellent introduction to the methodology and implementation of experimentation in the natural, engineering and medical sciences. [...] This book focuses on general research skills, such as adopting a scientific mindset, learning how to plan meaningful experiments and understanding the fundamentals of collecting and interpreting data. It is directed to anyone engaged in experiments." Particularly suitable for undergraduates or other novice researchers learning about designing their own experiments.
- Dealing with Statistics byCall Number: HA 29 .B76 2008ISBN: 0335227244Publication Date: 2007"The tools to choose the graphs and statistics that are suitable for your data, and to understand what the statistical results actually mean." A very short introduction to statistics and why you need to use them. It also includes some guidance on gathering data, focused for the social sciences, but the principles are broadly applicable.
- Statistics and Scientific Method byCall Number: Q 180.55 .S7 D54ISBN: 9780199543182Publication Date: 2011"Studiously avoids the recipe-book style and keeps algebraic details of specific statistical methods to the minimum extent necessary to understand the underlying concepts." Recommended if you are considering designing an experiment but want a broad overview before choosing an approach, or if you have an approach but want to understand how it fits into the broader statistical and scientific thought process. The text is organized around case studies for different methods. It will likely be most applicable for undergraduates or graduate students learning about experimental design and who are comfortable with seeing equations scattered throughout the text.
Statistical Analysis References
- Online Statistics Education: An Interactive Multimedia Course of StudyThis open and free introductory statistics textbook covers topics typical for a college-level non-math majors statistics course. Topics include distributions, probability, research design, estimation, hypothesis testing, power and effect size, comparison of means, regression, analysis of variance (ANOVA), transformations, chi square, and non-parametric (distribution-free) tests). It is available as a pdf, online, or as an epub. An Instructor's Manual and PowerPoint slides are also available upon request from the project leader at Rice University.
- Introductory StatisticsA free and open introductory statistics textbook for non-math majors. "They have sought to present only the core concepts and use a wide-ranging set of exercises for each concept to drive comprehension. [...] a smaller and less intimidating textbook that trades some extended and unnecessary topics for a better-focused presentation of the central material." It covers descriptive statistics, probability, distributions, discrete and continuous random variables, estimation, hypothesis testing, comparison of means, correlation and regression, chi square, and F-tests.
- Introductory Statistics with Randomization and Simulation"We hope readers will take away three ideas from this book in addition to forming a foundation of statistical thinking and methods. (1) Statistics is an applied field with a wide range of practical applications. (2) You don't have to be a math guru to learn from interesting, real data. (3) Data are messy, and statistical tools are imperfect. However, when you understand the strengths and weaknesses of these tools, you can use them to learn interesting things about the world." This free and open introductory statistics textbook for non-math majors discusses data and data collection, foundations for inference with randomization and simulations (then leading into standard parametric statistics), inference with categorical and numerical data, and linear, multiple logistic regression. An introduction to probability is included as an appendix.
- Statistics for Research byCall Number: QA 276 .D66 2004ISBN: 047126735XPublication Date: 2004"Features the most commonly used statistical techniques for the analysis of research data. [...] emphasis is placed on how to select the proper statistical procedure and how to interpret results."
- Statistics LibreTexts BookshelfCurates multiple openly available statistics textbooks.
- From Numbers to Words byCall Number: HA 29 .M83165 2002ISBN: 080133280XPublication Date: 2001"An invaluable reference tool that guides readers through drafting the results of quantitative experiments." This book gives social science examples but should be of use to learners and researchers in many scientific fields in learning how to report the results of statistical tests.
- Model Selection and Multimodel Inference byISBN: 0387224564Publication Date: 2007"The philosophy of model-based data analysis and strategy for the analysis of empirical data. The book introduces information theoretic approaches and focuses critical attention on a priori modeling and the selection of a good approximating model that best represents the inference supported by the data. [...] The text has been written for biologists and statisticians using models for making inferences from empirical data."
- Using Multivariate Statistics byCall Number: QA 278 .T3 2013ISBN: 9780205849574Publication Date: 2012"Provides advanced undergraduate as well as graduate students with a timely and comprehensive introduction to today's most commonly encountered statistical and multivariate techniques, while assuming only a limited knowledge of higher-level mathematics." Covers SPSS and SAS code; also available on Reserves at Bizzell Memorial Library.
- Encyclopedia of Statistical Sciences"Reference tool covering statistics, probability theory, biostatistics, quality control, and economics with emphasis in applications of statistical methods in sociology, engineering, computer science, biomedicine, psychology, survey methodology, and other client disciplines." A good source for topics less often covered in the general textbooks.
- The Concise Encyclopedia of Statistics"More than 500 entries include definitions, history, mathematical details, limitations, examples, references, and further readings. All entries include cross-references as well as the key citations. The back matter includes a timeline of statistical inventions." Another good resource for topics not included in the general texts listed previously.
Meta-analysis
- Meta-Analysis: quantitative methods for research synthesis byCall Number: Online accessISBN: 0585216975Publication Date: 1986"Meta-Analysis shows how to apply statistical methods to achieve a literature review of a common research domain. It demonstrates the use of combined tests and measures of effect size to synthesise quantitatively the results of independent studies for both group differences and correlations."
- Meta-Analysis: cumulating research findings across studies byCall Number: Online accessISBN: 0803918631Publication Date: 1982"Meta-analysis is a way of synthesizing previous research on a subject in order to assess what has already been learned, and even to derive new conclusions from the mass of already researched data. "
- Systematic Reviews and Meta-Analysis byCall Number: Online accessISBN: 9780195326543Publication Date: 2008"When used in tandem, systematic reviews and meta-analysis-- two distinct but highly compatible approaches to research synthesis-- form a powerful, scientific approach to analyzing previous studies. [...] This pocket guide to Systematic Reviews and Meta-Analysis illuminates precisely that practical groundwork. In clear, step-by-step terms, the authors explain how to format topics, locate and screen studies, extract and assess data, pool effect sizes, determine bias, and interpret the results, showing readers how to combine reviewing and meta-analysis correctly and effectively."
- Advances in Meta-Analysis byCall Number: Online accessISBN: 1461422787Publication Date: 2012"The subject of the book is advanced statistical analyses for quantitative research synthesis (meta-analysis), and selected practical issues relating to research synthesis that are not covered in detail in the many existing introductory books on research synthesis (or meta-analysis)."
- Integrating Omics Data byCall Number: Online accessISBN: 9781107706484Publication Date: 2015"As the technologies have become mature and the price affordable, omics data are rapidly generated, and the problem of information integration and modeling of multi-lab and/or multi-omics data is becoming a growing one in the bioinformatics field. This book provides comprehensive coverage of these topics and will have a long-lasting impact on this evolving subject. Each chapter, written by a leader in the field, introduces state-of-the-art methods to handle information integration, experimental data, and database problems of omics data."
- Meta-Analysis: A Structural Equation Modeling Approach byCall Number: Online accessISBN: 1118957830Publication Date: 2015"Structural equation modeling (SEM) and meta-analysis are two powerful statistical methods in the educational, social, behavioral, and medical sciences. They are often treated as two unrelated topics in the literature. This book presents a unified framework on analyzing meta-analytic data within the SEM framework, and illustrates how to conduct meta-analysis using the metaSEM package in the R statistical environment. [...] Basic knowledge of either SEM or meta-analysis will be helpful in understanding the materials in this book."
- Meta-analysis in social research byCall Number: Online accessPublication Date: 1981Covers the problems of research review and integration; meta-analysis of research; finding studies; describing, classifying and coding research studies; measuring study findings; techniques of analysis; and an evaluation of meta-analysis.
- Meta-Analysis with R byCall Number: Online accessISBN: 9783319214160Publication Date: 2015"This book provides a comprehensive introduction to performing meta-analysis using the statistical software R. It is intended for quantitative researchers and students in the medical and social sciences who wish to learn how to perform meta-analysis with R. As such, the book introduces the key concepts and models used in meta-analysis."
Ordination and Principal Components Analysis (PCA)
- The Ordination Web Page"designed to address some of the most frequently asked questions about ordination. It is my intention to gear this page towards the student and the practitioner rather than the ordination specialist"
- Nature Methods: Principal Components Analysis"Principal component analysis (PCA) simplifies the complexity in high-dimensional data while retaining trends and patterns. It does this by transforming the data into fewer dimensions, which act as summaries of features. "
- A One-Stop Shop for Principal Components Analysis"The rationale for this method, the math under the hood, some best practices, and potential drawbacks to the method."
- Using Multivariate Statistics byCall Number: QA 278 .T3 2013ISBN: 9780205849574Publication Date: 2012"Provides advanced undergraduate as well as graduate students with a timely and comprehensive introduction to today's most commonly encountered statistical and multivariate techniques, while assuming only a limited knowledge of higher-level mathematics." Covers SPSS and SAS code; also available on Reserves at Bizzell Memorial Library.
- An Introduction to Applied Multivariate Analysis with R byCall Number: eBookISBN: 1441996508Publication Date: 2011"Multivariate analysis includes methods both for describing and exploring such data and for making formal inferences about them. The aim of all the techniques is, in general sense, to display or extract the signal in the data in the presence of noise and to find out what the data show us in the midst of their apparent chaos."
- NIST/SEMATECH e-Handbook of Statistical Methods: Principal Components"A Multivariate Analysis problem could start out with a substantial number of correlated variables. Principal Component Analysis is a dimension-reduction tool that can be used advantageously in such situations. Principal component analysis aims at reducing a large set of variables to a small set that still contains most of the information in the large set. "
Bayesian Statistics
- Bayesian Models byISBN: 1400866553Publication Date: 2015"This textbook provides a comprehensive and accessible introduction to the latest Bayesian methods--in language ecologists can understand. Unlike other books on the subject, this one emphasizes the principles behind the computations, giving ecologists a big-picture understanding of how to implement this powerful statistical approach. Bayesian Models is an essential primer for non-statisticians."
- Bayesian Inference byCall Number: QA 279.5 .L56 2010ISBN: 9780123748546Publication Date: 2010"This text is written to provide a mathematically sound [...] introduction to Bayesian inference specifically for environmental scientists, ecologists and wildlife biologists. It emphasizes the power and usefulness of Bayesian methods in an ecological context." Available in a physical copy or an ebook.
Experimental Design for Social Sciences
- Essentials of Statistics for the Social and Behavioral Sciences byCall Number: HA 29 .C655 2004ISBN: 0471220310Publication Date: 2003"Guides you to a better understanding of basic concepts of statistical methods. Numerous practical tips are presented for selecting appropriate statistical procedures."
- The SAGE Dictionary of Statistics and Methodology byCall Number: OnlineISBN: 1483381765Publication Date: 2015Packed with new definitions, terms, and graphics, this invaluable resource is an ideal reference for researchers and professionals in the field and provides everything students need to read and understand a research report, including elementary terms, concepts, methodology, and design definitions, as well as concepts from qualitative research methods and terms from theory and philosophy.
- Understanding and Applying Research Design byCall Number: eBookISBN: 1118605268Publication Date: 2013-01-03
- Interpretive Approaches to Research Design byCall Number: eBookISBN: 020385490xPublication Date: 2011-12-15
Qualitative Research Methods
- Investigating Our Experience in the World byCall Number: H 62 .M6447 2011ISBN: 9781572337596Publication Date: 2011"Leads readers through framing the project and undertaking the initial bracketing interview to conducting phenomenological interviews with participants, interpreting texts, thematizing, and developing thematic structure. Rounding out discussion of the research procedures is a full chapter devoted to writing the research report. The book concludes with a section answering common questions about this style of phenomenological research."
- Qualitative Literacy byCall Number: GN346 .S58 2022ISBN: 9780520390652Publication Date: 2022-08-23Each of the hundreds of ethnographic and interview studies published yearly [on these issues] is scientifically either sound or unsound. This guide provides social scientists, researchers, students, evaluators, policy makers, and journalists with the tools needed to identify and evaluate quality in field research.
- Qualitative Research Methods: A Data Collector's Field Guide"This how-to guide covers the mechanics of data collection for applied qualitative research. It is appropriate for novice and experienced researchers alike. It can be used as both a training tool and a daily reference manual for field team members. The question and answer format and modular design make it easy for readers to find information on a particular topic quickly."
- Qualitative Research Methods in Human Geography byCall Number: GF 21 .Q83 2016 (Bizzell Reserves, National Weather Center stacks)ISBN: 9780199010905Publication Date: 2016"Using a unique "how-to" approach to focus on the practical application of research in human geography by providing real-world examples of research methods at work in case studies, this fourth edition teaches students how to plan, execute, interpret, and effectively communicate qualitative research."
- Qualitative Geography byCall Number: Available onlineISBN: 9781412919913Publication Date: 2009"Shows how empirical details of qualitative research can be linked to the broader social, theoretical, political, and policy concerns of qualitative geographers and the communities within which they work."
- Qualitative Research Methods for the Social Sciences byCall Number: H 61 .B4715 2007ISBN: 0205482635Publication Date: 2006"The author's central purpose is to show inexperienced researchers how to design, collect, and analyze data and then present their results to the scientific community, while stressing the importance of ethics in research and taking the time to properly design and think through any research endeavor."
- The SAGE Handbook of Qualitative Research byCall Number: H 62 .H2455 2005ISBN: 0761927573Publication Date: 2005"A text for any researcher interested in the art, science and practice of qualitative research."
- Qualitative Data byCall Number: BF 76.5 .A95 2003 (Also available online)ISBN: 0814706940Publication Date: 2003"Meant for the novice researcher who needs guidance on what specifically to do when faced with a sea of information. It takes readers through the qualitative research process, beginning with an examination of the basic philosophy of qualitative research, and ending with planning and carrying out a qualitative research study."
Experimental Design for Ecology and Evolutionary Biology
- Analysing Ecological Data byISBN: 1281044679Publication Date: 2007"The first part of the book gives a largely non-mathematical introduction to data exploration, univariate methods (including GAM and mixed modelling techniques), multivariate analysis, time series analysis (e.g. common trends) and spatial statistics. The second part provides 17 case studies, mainly written together with biologists who attended courses given by the first authors. [...] The case studies can be used as a template for your own data analysis; just try to find a case study that matches your own ecological questions and data structure, and use this as starting point for you own analysis."
- A Primer of Ecological Statistics byCall Number: QH 541.15 .S72 G68 2013ISBN: 9781605350646Publication Date: 2012"Explains fundamental material in probability theory, experimental design, and parameter estimation for ecologists and environmental scientists. "
- Handbook of Meta-Analysis in Ecology and Evolution byCall Number: QH 541.15 .S72 H36 2013ISBN: 0691137293Publication Date: 2013"The handbook identifies both the advantages of using meta-analysis for research synthesis and the potential pitfalls and limitations of meta-analysis (including when it should not be used). Different approaches to carrying out a meta-analysis are described, and include moment and least-square, maximum likelihood, and Bayesian approaches, all illustrated using worked examples based on real biological datasets."